Triple
T19453317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me |
E486670
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Pat Healy |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pat Healy | Statement: [Take Me, starring, Pat Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Healy Context triple: [Take Me, starring, Pat Healy]
-
A.
Pat Healy
Pat Healy is the sleazy private investigator and comic antagonist in the romantic comedy film "There's Something About Mary."
-
B.
Pat Healy
chosen
Pat Healy is an American actor, writer, and filmmaker known for his work in independent films and genre cinema.
-
C.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
D.
Kevin Healey
Kevin Healey is a British autism campaigner and activist known for his work raising awareness of autism and combating online bullying and discrimination.
-
E.
Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.